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Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
Assistant Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us as a Full Stack Engineer at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions.
To be successful as a Full Stack Engineer, you should have experience with:
Core Java & Microservices Engineering: Expert in Java 11+, Spring/Spring Boot, RESTful services, and contract‑first APIs; solid grasp of collections, concurrency, memory management, resilience patterns (circuit breakers, retries), and secure coding. Architect and build modular services that plug into Liquidity platforms and vendor stacks (e.g., iGTB/LMS) following our microservices conventions.
DevOps / DevSecOps with our Standard Toolchain: Hands‑on with GitLab pipelines, artifact versioning, automated tests (unit/integration/NFT hooks), dependency & container scanning, and zero‑downtime deployments to our target runtimes (incl. on‑prem and container platforms).
Messaging, Data & Performance at Scale: Experience with Kafka/MQ patterns, idempotency, back‑pressure, and event‑driven designs; strong SQL/NoSQL fundamentals and query tuning for liquidity calculations/feeds.
Desirable Skills:
Performance profiling and capacity planning for high‑volume treasury/transaction workloads.
AI/ML‑aware Engineering: Practical exposure to ML‑assisted code quality (e.g., test generation, static analysis) and analytics hooks that downstream data/ML teams can use for anomaly detection (liquidity spikes, failed sweeps, fee outliers).
Scaled Agile Delivery (Team‑of‑Teams) Operates effectively in pods/ARTs: slices features, writes testable stories, manages dependencies, and represents engineering in PI/iteration ceremonies for Liquidity streams.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
The role is based out of Pune.
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